Request Demo
White Paper
 

DataOps: An Agile Methodology for Data-Driven Organizations

Learn how companies using a DataOps approach are putting data science projects into production faster.

DataOps is an agile methodology for developing and deploying data-intensive applications, including data science and machine learning models. In this white paper, coauthored by DataScience.com partner MapR, find out how implementing a DataOps workflow can help your company achieve a faster time to value on data science projects and foster collaboration between data scientists and engineers.
dataops-mapr
checkmark
27% of firms will invest more than $50 million in big data by the end of 2017.
checkmark
Only 11% of companies can iterate on models currently in production.
checkmark
A DataOps workflow supports collaboration and fast time to value.
checkmark
A DataOps process ensures IT is not a bottleneck to productivity.

SUBSCRIBE TO OUR NEWSLETTER

Subscribe to Email Updates

close-crop-cube.png

© 2018 DataScience.com All Rights Reserved

Platform

Solutions

Resources

Tools

Company